Exploiting Cognition in ISAR Processing for Spectral Compatibility Applications
Massimo Rosamilia, Augusto Aubry, Alessio Balleri, Antonio De Maio, Marco Martorella

TL;DR
This paper presents a cognitive ISAR system that dynamically perceives the environment, synthesizes tailored waveforms with spectral notches, and recovers missing data to ensure spectral coexistence and high-quality imaging in crowded RF environments.
Contribution
It introduces a novel cognitive ISAR approach that combines environmental perception, tailored waveform synthesis, and advanced data recovery methods for spectral compatibility.
Findings
Effective spectral coexistence demonstrated with drone data in 13-15 GHz band.
High-quality ISAR images achieved despite spectral notches.
System successfully recovers missing data in frequency and slow-time domains.
Abstract
This paper introduces and analyzes the concept of a cognitive inverse synthetic aperture radar (ISAR) ensuring spectral compatibility in crowded electromagnetic environments. In such a context, the proposed approach alternates between environmental perception, recognizing possible emitters in its frequency range, and an action stage, synthesizing and transmitting a tailored radar waveform to achieve the desired imaging task while guaranteeing spectral coexistence with overlaid emitters. The perception is carried out by a spectrum sensing module providing the true relevant spectral parameters of the sources in the environment. The action stage employs a tailored signal design process, synthesizing a radar waveform with bespoke spectral notches, enabling ISAR imaging over a wide spectral bandwidth without interfering with the other radio frequency (RF) sources. A key enabling requirement…
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